Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Detecting Deepfake Voices Using a Novel Method for Authenticity Verification in Voice-Based Communication Subject The topic of the resource Audio Analysis; Deepfake Voice; Machine Learning; Signal Processing; Social Media; Voice Authentication System; Voice Synthesis Description An account of the resource The widespread use of deepfake technology in recent years has given rise to grave worries about the alteration of audio-visual material. The integrity of voice-based communication is particularly vulnerable to the threat posed by deepfake voice synthesis. The development of cutting-edge methods for the identification of deepfake voices is examined in this paper, which also offers a thorough analysis of current approaches, their advantages, and disadvantages. The research presents a novel method for detecting deepfakes in voice recordings that uses signal processing, machine learning, and audio analysis to separate synthetic voices from authentic voices. By achieving superior accuracy in differentiating between real and deepfake voices, and proposed method supplies a strong barrier against the misuse of voice synthesis technology for malicious purposes, also go over the research some of the possible uses for this technology, like voice authentication system security and social media platform content moderation. The paper's insights will support continued efforts to strengthen the authenticity of voice communication in the digital age and reduce the risks associated with deepfake voice synthesis. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Kansara A.; Kumari P.; Prathap B.R. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1088 LNNS, pp. 397-405. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-70018-7_45" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-70018-7_45</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203590498&amp;doi=10.1007%2F978-3-031-70018-7_45&amp;partnerID=40&amp;md5=faf012273e98d173a581ada33c30d478" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203590498&amp;doi=10.1007%2f978-3-031-70018-7_45&amp;partnerID=40&amp;md5=faf012273e98d173a581ada33c30d478</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303170017-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kumari P., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India